Nava, an AI startup co-founded by Abhinav Sinha, has successfully raised $22 million in its Series A funding round. This financing was led by Greenoaks, with contributions from RTP Global and Unicorn India Ventures. The startup has also announced a rebranding from its previous name, Kluisz.ai, and established Singapore as its regional headquarters to better serve the Asia-Pacific market.
Founded in 2025, Nava aims to create a comprehensive neocloud platform, which provides GPU-as-a-service. This service allows businesses to execute AI, machine learning, and other computationally intensive tasks without the burden of managing their own infrastructure.
The newly acquired funds will be directed towards developing the full-stack AI compute platform tailored for the Asian market. Nava plans to invest in talent across various sectors, including AI infrastructure, data center design, and GPU engineering.
As businesses increasingly turn to AI solutions, they require robust hardware coupled with AI-native software for efficient application deployment. Nava's strategy involves a vertically integrated approach that combines AI-optimized data centers, high-performance GPU computing, orchestration, and user-friendly developer tools. This ecosystem is designed to facilitate the efficient and reliable scaling of AI applications for enterprises.
Nava is particularly focused on serving enterprises engaged in developing AI applications, offering infrastructure solutions like GPU-as-a-service and bare-metal compute. The startup is currently in advanced discussions to launch its GPU-based AI infrastructure offerings.
With this funding round, Nava's total funding has reached $31.6 million, which includes a previous seed round of $9.6 million led by RTP Global in July 2025. That seed round was notable for being one of the largest for an AI startup at the time.
This development aligns with India's growing emphasis on enhancing its AI data center ecosystem, with over $200 billion being invested. As demand for AI computing surges, the country faces challenges in meeting the necessary data center capacity, as existing infrastructure is primarily designed for traditional cloud workloads.
India's AI market is projected to reach $126 billion by 2030, potentially contributing up to $1.7 trillion to the GDP by 2035.
